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Product Management Root Cause Analysis Question: Investigating sudden drop in Zwift mobile app signups
Image of author vinay

Vinay

Updated Dec 5, 2024

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Asked at Zwift

15 mins

What's causing the sudden 30% drop in new user sign-ups for Zwift's mobile app?

Data Analysis Problem Solving Strategic Thinking Fitness Technology Mobile Apps Gaming
Data Analysis User Acquisition Root Cause Analysis Mobile Apps Fitness Tech

Introduction

A sudden 30% drop in new user sign-ups for Zwift's mobile app is a critical issue that demands immediate attention. This significant decline could have far-reaching implications for user acquisition, revenue, and overall product growth. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by a thorough examination of potential causes, data analysis, hypothesis formation, and validation. Finally, I'll propose a comprehensive plan to address the issue and prevent similar occurrences in the future.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a recent change in the app or marketing strategy. Has there been any significant update to the app or change in marketing campaigns in the last 30 days?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, we launched a new onboarding flow two weeks ago. Impact on approach: If confirmed, I'd focus on analyzing the new onboarding process.

  • Considering user segments, I'm wondering if this drop is uniform across all user types. Are we seeing the 30% drop consistently across different user segments (e.g., age groups, regions, device types)?

Why it matters: Identifying affected segments can pinpoint specific issues. Expected answer: The drop is more pronounced in the 25-34 age group and on Android devices. Impact on approach: I'd prioritize investigating Android-specific issues and factors affecting younger users.

  • Given the nature of Zwift's product, I'm curious about seasonality. Is this drop aligned with any historical seasonal trends in user sign-ups?

Why it matters: Seasonal patterns could explain sudden changes in user behavior. Expected answer: We typically see a slight dip in summer, but not to this extent. Impact on approach: I'd factor in seasonality but look for additional causes given the severity of the drop.

  • Thinking about the competitive landscape, has there been any significant move from competitors or changes in the market recently?

Why it matters: External factors can significantly impact user acquisition. Expected answer: A major competitor launched a promotional campaign last month. Impact on approach: I'd analyze the competitor's offering and our market positioning.

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